PhD in Stroke Recovery: Markerless Motion & Biomarker AI

ETH Zürich; Zürich; Hybrid; CHF 60.000 - 90.000; Vollzeit

Zusammenfassung

The Lake Lucerne Institute (LLUI) at ETH Zurich is seeking a motivated PhD candidate to work on upper-limb marker-less motion capture, movement classification, and outcome modelling in stroke populations.

The role focuses on developing scalable biomechanical assessment systems for clinical and research use, contributing to patient-centered rehabilitation planning, and collaborating with European partners in the CEREBRIS project.

Qualifikationen

• Master's degree in Biomechanics, Biomedical Eng, CS, Neuroscience, Health Science, Biomedicine, or related field.
• Experience with computer vision for motion analysis.
• Understanding of study design, scientific methods, and statistical modelling.
• Proficiency in Python, C# or equivalent.
• Basic knowledge of machine learning or deep learning.

Aufgaben

• Upper-limb marker-less kinematics development and validation of multi-view and monocular pipelines.
• Translate kinematic outputs into clinician-interpretable information.
• Scientific writing and dissemination of results.
• Synthetic data generation and implementation support.

Kenntnisse

Motion analysis

Computer vision

Python, C# programming

Statistical modelling

English communication

Ausbildung

Master's degree in Biomechanics or related field

Tools

Containerization (Docker)

Version control

Jobbeschreibung

The Lake Lucerne Institute (LLUI) at ETH Zurich is seeking a motivated PhD candidate to work on upper-limb marker-less motion capture, movement classification, and outcome modelling in stroke populations.

The role focuses on developing scalable biomechanical assessment systems for clinical and research use, contributing to patient-centered rehabilitation planning, and collaborating with European partners in the CEREBRIS project.